Abstract:Against the backdrop of the innovation-driven development era, how to use the platform supply chain to revitalize social resources to provide supporting services for resource sharing for innovation, and realize the effective use of scientific and technological innovation resources through market-oriented operation is of great significance to the S&T innovation platform or social economy. The level of supporting services provided by science and technology resource providers on the S&T innovation platform not only affects their innovation output, but also affects the number of users who join the platform. Combining the actual situation of China’s science and technology innovation, this paper considers the scenario that scientific research users have a preference for the quality of the supporting services of resource providers on the platform. We use the game decision-making idea to study the pricing decision of the S&T innovation platform, and then focus on expanding the research platform on the basis of ordinary pricing strategies, based on the realistic situation of the supply and demand characteristics of users on both sides of the platform, the profit maximization strategies of different types of S&T innovation platforms are revealed. The study found that under the three strategies, the platform pays commission to resource providers within a certain range of unit operating costs, and the commission increases with the increase of user quality preference coefficient, and the optimal subsidy amount and drainage quantity also increase. Comparing the three strategies, the service fee of the platform is the lowest under SS and the highest under AS, both of which can bring higher returns to the platform under certain conditions; Different types of S&T innovation platforms should choose different pricing strategies to maximize platform profits when the proportion of high-quality resource providers in the market is different. In addition, after considering the risk characteristics of innovation, a higher quality preference coefficient is required to achieve a substantial increase in the profits of the S&T innovation platform.